dplyr 1.0.0 for package developers
This article is originally published at https://www.tidyverse.org/blog/As you’re hopefully aware, dplyr 1.0.0 is coming soon, and we’ve been writing a series of blog posts about the user-facing changes that you, as a data scientist have to look forward to. Today, I wanted to change tack a little and talk about the changes from the perspective of the package developer. But first, an update on the release process: in the process of preparing for this release, we discovered some subtle problems that arise when combining different types of data frames (including data.
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This article is originally published at https://www.tidyverse.org/blog/
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